Data Engineer
CODILIME SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
⚲ Warszawa, Śródmieście
16 500–25 000 zł netto (+ VAT) / mies.
Wymagania
- Databricks
- Spark
- SQL
- Python
- Snowflake
- Microsoft Power BI
- Tableau
- Git
- AWS
- Microsoft Azure
- Apache Airflow
- Dagster
Opis stanowiska
Nasze wymagania: Strong experience with Databricks (Spark) Advanced SQL skills (including query optimization) Experience with Python Experience with Snowflake Experience with BI tools (Power BI / Tableau) Experience with version control systems (Git) Experience with AWS or Azure Good knowledge of English (minimum C1 level) Mile widziane: Experience with Apache Airflow, Dagster, or similar orchestration tools Experience with Azure AI Search or AWS OpenSearch O projekcie: You will join a data engineering team working on cloud-based solutions for clients in industries such as finance, banking, insurance, and healthcare. Typical projects include: • Migration from on-premise systems to modern cloud data platforms • Building modern and scalable data pipelines and analytics layers • Designing data architectures (lakehouse / data warehouse) You will work on real production systems, delivering reliable data solutions that power business decisions across entire organizations. You will also have real influence on technical decisions and the shape of the data platform. Depending on the project, you will work with a subset of the following technologies: • Databricks, Spark • Python, SQL • Snowflake • Power BI / Tableau • Microsoft Azure (Blob Storage, Azure Functions, Fabric, Databricks, AI Search) • (Optional) Apache Airflow / Dagster We work on multiple projects at the same time, so we may suggest a different project if it better matches your experience and profile. Zakres obowiązków: Focus on building and optimizing data platforms, with some exposure to analytics. Design and build scalable ETL / ELT pipelines Develop data transformations (SQL / Python / dbt) Model data using best practices Optimize performance and cost of data processing Ensure data quality (testing, validation, monitoring) Support cloud migration initiatives Collaborate with analytics teams to deliver clean, reliable datasets Support analytics teams in building dashboards and reporting layers Oferujemy: Flexible working hours and approach to work: fully remotely, in the office or hybrid Professional growth supported by internal training sessions and a training budget Solid onboarding with a hands-on approach to give you an easy start A great atmosphere among professionals who are passionate about their work